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gRPC vs nanomsg: What are the differences?

Introduction

gRPC and nanomsg are both communication frameworks used for building distributed systems. While they have some similarities, there are several key differences that set them apart.

  1. Communication Protocol: The main difference between gRPC and nanomsg lies in their communication protocols. gRPC uses HTTP/2 as its underlying protocol, which offers built-in support for bi-directional communication, request multiplexing, and efficient data serialization. On the other hand, nanomsg utilizes its own lightweight messaging protocol called nanomsg protocol, which is designed for high performance and low latency communication.

  2. Language Support: gRPC supports multiple programming languages including C++, Java, Python, Go, and more. It provides language-specific APIs and code generation tools for seamless integration with different programming languages. In contrast, nanomsg focuses on providing a language-agnostic messaging protocol and is intended to be integrated into applications written in any programming language through its language bindings.

  3. Communication Patterns: gRPC primarily supports the request-response communication pattern, where a client sends a request to a server and waits for a response. It also supports server-side streaming, client-side streaming, and bidirectional streaming. On the other hand, nanomsg supports various messaging patterns such as publish-subscribe, request-reply, push-pull, surveyor-respondent, and more. This makes nanomsg more flexible in terms of communication patterns.

  4. Transport Layer: gRPC uses HTTP/2 as its transport layer, which means it can leverage the existing infrastructure and security mechanisms provided by the HTTP protocol. It can also handle network proxies, load balancing, and flow control. In contrast, nanomsg operates at a lower level and can use various transport protocols such as TCP, IPC, and in-process communication. It provides a lightweight and efficient messaging layer without relying on higher-level protocols.

  5. Service Definition: In gRPC, communication between the client and server is defined using Protocol Buffers, a language-agnostic binary serialization format. The service definition specifies the available remote procedures and their input/output message types. On the other hand, nanomsg does not provide a specific service definition mechanism. Instead, it allows developers to define their own application-specific messaging formats and protocols.

  6. Community and Maturity: gRPC has a larger and more mature community compared to nanomsg. It is backed by Google and has been widely adopted by major tech companies. This means gRPC has a larger ecosystem, better documentation, and more robust support. nanomsg, although it has a smaller community, has its own set of dedicated users and contributors, but the level of support and community resources might be more limited compared to gRPC.

In Summary, gRPC and nanomsg differ in their communication protocols, language support, communication patterns, transport layer, service definition, and community/maturity level.

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Pros of gRPC
Pros of nanomsg
  • 24
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
  • 2
    Garbage
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    What is gRPC?

    gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

    What is nanomsg?

    It is a socket library that provides several common communication patterns. It aims to make the networking layer fast, scalable, and easy to use. Implemented in C, it works on a wide range of operating systems with no further dependencies.

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    What are some alternatives to gRPC and nanomsg?
    GraphQL
    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    REST
    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
    MQTT
    It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.
    See all alternatives